1,720,974 research outputs found
Intelligent approach for optimal modeling of manufacturing systems
No full textPurpose: This paper proposes a methodology for analysis and modeling of machining conditions by optimal
determination of the cutting parameters in multi-pass NC machining operations.
Design/methodology/approach: This paper proposes optimal determination of the cutting parameters by using
a deterministic method (DM) and a genetic algorithm (GA). In the research, it is created the complex mathematical
model for design of the cutting condition for machining process. In next phase, it is created a numerical algorithm for
optimization and its developed software called OPTIMAD (Optimization of Milling and Drilling), by using DM. Also,
it is created software, caled GAMO (Genetic Algorithm for Machining Operation), as a GA program modul based of
the elementary pseudo-code for GA, with using the MatLAB program language and C++ developed rutines.
Findings: Modeling of optimal cutting parameters, as a part of process planning, enables generating of
manufacturing data and knowledge representation in machining process plan. Verification of optimized cutting
parameters in real machining condition has done confirmation for design of cutting parameters by virtual
modelling, using optimization methodologies OPTIMAD and GAMO.
Research limitations/implications: The optimization approach is proposed and its uses optimization of mathematical
model using a classic and heuristic methods. In this research, GA based optimization method and deterministic
optimization method are developed and there implementations into real manufacturing process are analyzed.
Practical implications: Use of proposed aproach resulted in improved productivity and efficiency of machining
process where the cutting conditions are designed by OPTIMAD and GAMO softwares. In the future, this results
will be integrated in computer system for process planning.
Originality/value: The paper describes a method for eliminating the need for using the extensive user
intervention in CAM processes, during determination of cutting parameters.
Keywords: Analysis and modelling; Technological design; CAMS; Optimisation; NC machining process
Continuous Innovativeness Supported by Integrated Computer-based and PLM Solutions
No full textMotivating product designers and research groups to think “outside the box” is of special interest for
companies and research centres willing to remain competitive even in times of crisis. It is proven that
those leaders which realized that the continuous innovativeness is a result of in-crossed creativity
support and sustained quality are more prepared for changes and bring their companies to success.
Innovation management has significantly changed towards approaches that support innovation
process especially the early phases in which creativity is more than needed. Approaches towards
Product Lifecycle Management are changed also. In the advent of Web.2.0 these approaches have
become increasingly computer-based enabling access to large user communities evolving into open or
semi-open Enterprise 2.0 platforms. The parallel development of tools that could support innovative
(creative) thinking based on off-line so-called Classical methods and IT solutions which claim to be
collaborative and support idea generation brings to doubts about the choice of most suitable solutions.
On the other side, companies are more eager to use solutions which can follow the different business
processes including product lifecycle and that can aid their innovative capacity by being closer to
customers. In this research an integrated solution is suggested that includes ideation and collaborative
tools cross-used with PLM solutions which could support continuous innovativeness. Existing
concepts and approaches on computer-based solutions for innovation and PLM are presented, with a
focus on the “creative” phases such as product design that elevates the success of the products. The
overview is made with a scope to underline the necessity of integration of the pragmatic aspects of
creativity into solutions having features recognized with literature and test analysis that could support
mainly creative thinking and knowledge sharing in companies
Continuous innovativenenss supported by integrated computer-based and PLM solutions
No full textMotivating product designers and research groups to think “outside the box” is of special interest for companies
and research centres willing to remain competitive even in times of crisis. It is proven that those leaders which realized that
the continuous innovativeness is a result of in‐crossed creativity support and sustained quality are more prepared for
changes and bring their companies to success. Innovation management has significantly changed towards approaches that
support innovation process especially the early phases in which creativity is more than needed. Approaches towards
Product Lifecycle Management are changed also. In the advent of Web.2.0 these approaches have become increasingly
computer‐based enabling access to large user communities evolving into open or semi‐open Enterprise 2.0 platforms. The
parallel development of tools that could support innovative (creative) thinking based on off‐line so‐called Classical methods
and IT solutions which claim to be collaborative and support idea generation brings to doubts about the choice of most
suitable solutions. On the other side, companies are more eager to use solutions which can follow the different business
processes including product lifecycle and that can aid their innovative capacity by being closer to customers. In this research
an integrated solution is suggested that includes ideation and collaborative tools cross‐used with PLM solutions which could
support continuous innovativeness. Existing concepts and approaches on computer‐based solutions for innovation and PLM
are presented, with a focus on the “creative” phases such as product design that elevates the success of the products. The
overview is made with a scope to underline the necessity of integration of the pragmatic aspects of creativity into solutions
having features recognized with literature and test analysis that could support mainly creative thinking and knowledge
sharing in companies
Process of innovation in product lifecycle management business strategy
No full textThis article proposes a scenario of Product Lifecycle Management (PLM), as a innovative business strategy based on the analysis of business drivers, industry requirements, limit of current solution, and recent state-of-the-art review in the domain related to PLM. Potential industrial impact of the developed PLM technology solutions is analyzed. It is hoped that the proposed PLM technology solutions will form the frontier basis for further research, development, and application of PLM systems to quickly adapt to the dynamic changing market for industry companies to pursue the most advanced competitiveness. This article presents a process oriented framework to support effective PLM implementation with a set of lifecycle oriented business process reference models which links the necessary fundamental concepts, enterprise knowledge and software solutions to effectively deploy PLM
Product lifecycle management through innovative and competitive business environment
No full textProduct Lifecycle Management (PLM) is the process of managing the whole life cycle of a product starting from generating an idea, concept description, business analyzes, product design and solution architecture and technical implementation, to the successful entrance to the market, service, maintenance and product improvement. At present, a wide range of stakeholders including consumers, regulators, shareholders and public bodies are demanding that companies address product management through all life cycle in a more comprehensive and sustainable way. However, even if a company actually wishes innovate its processes for improving the way to account for project management, it will face relevant difficulties to deal with different guidelines, tools and methods currently addressing the matter from various points of view. The purpose of this paper is to review literature on PLM from an operational point of view with the objective to help companies to answer to the main market needs
Energy input adaptation according to part geometry in selective laser melting through empirical modelling of thermal emission
No full textCommon practice in Selective Laser Melting (SLM) is employing a series of fixed process parameters throughout the whole build. However, process thermal conditions strongly depend on the local geometry of the part.
Formation of some common defects, including swelling regions and elevated zones, emerges in critical corner areas due to excessive heat accumulation when constant parameters are used. Adaptation of energy input according to the geometry of the processed zone is highly desirable for avoiding defect formation. To assess the processing conditions, observation of the melt pool and its variation as a function of the process parameters with a coaxial camera operating in near infrared (NIR) demonstrated to be a feasible option. This work develops an empirical model that gives the correct amount of energy input to achieve stable melt pool depending on the single vector length, hence the part geometry. The model was validated on a prototype SLM system, and the results showed that controlling the process
parameters considerably improves the geometrical accuracy of the parts with pointy edges prone to hot spot formation
Spectral emission characteristics of single point exposure LPBF process
Full text linkDespite the advantages of laser powder bed fusion (LPBF), part defects may arise from inaccurately chosen process parameters or heat accumulation during the scanning of complex geometries. Amongst different monitored entities the chemistry or the process fingerprints related to the material requires further attention. Monitoring the spectral content of light emitted from the laser-material interaction provides insight into thermal conditions and chemical composition of the processed material. This work implements an off-Axial spectral monitoring setup for Optical Emission Spectroscopy (OES) in LPBF. Single-point experiment was conducted on AISI316L and Ti-6Al-4V. The study showed that the variation of laser energy input causes consequent variation of spectral emission intensity, as well as that the developed setup successfully captures spectral peaks of alloying elements. Principal Component Analysis demonstrated clear differentiation between the two materials. These findings prove the potential of OES for monitoring alloying elements of processed material and processing conditions in LPBF
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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